Narrative-UFET shows that adding controlled synthetic narrative context improves ultra-fine entity typing on long-tail types over sentence-level baselines, with type-changing narratives providing stronger gains than natural contexts.
Automated evaluation of written discourse coherence using GPT -4
3 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 3verdicts
UNVERDICTED 3representative citing papers
MAPLE uses meta-learning with prototypical networks to learn transferable representations and achieves state-of-the-art cross-prompt essay scoring on ELLIPSE, LAILA, and parts of ASAP datasets.
LLM graders achieve substantial human agreement on math and science MCAS items but vary on ELA, performing best as sources of formative narrative feedback rather than summative numerical scores.
citing papers explorer
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Narrative-UFET: Narrative Generation for Ultra-Fine Entity Typing
Narrative-UFET shows that adding controlled synthetic narrative context improves ultra-fine entity typing on long-tail types over sentence-level baselines, with type-changing narratives providing stronger gains than natural contexts.
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MAPLE: A Meta-learning Framework for Cross-Prompt Essay Scoring
MAPLE uses meta-learning with prototypical networks to learn transferable representations and achieves state-of-the-art cross-prompt essay scoring on ELLIPSE, LAILA, and parts of ASAP datasets.
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Creating and Evaluating K-12 GenAI Assessment Graders Through Context Engineering
LLM graders achieve substantial human agreement on math and science MCAS items but vary on ELA, performing best as sources of formative narrative feedback rather than summative numerical scores.